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chore: import upstream snapshot with attribution
2026-07-13 12:38:16 +08:00

39 lines
1.3 KiB
Python

# SPDX-License-Identifier: Apache-2.0
# Adapted from https://huggingface.co/moonshotai/Kimi-VL-A3B-Instruct/blob/main/configuration_kimi_vl.py
from typing import Optional, Union
from transformers.configuration_utils import PretrainedConfig
from sglang.srt.configs.deepseekvl2 import DeepseekV2Config
from sglang.srt.configs.kimi_vl_moonvit import MoonViTConfig
class KimiVLConfig(PretrainedConfig):
model_type = "kimi_vl"
def __init__(
self,
vision_config: Optional[Union[dict, MoonViTConfig]] = None,
text_config: Optional[Union[dict, DeepseekV2Config]] = None,
ignore_index: int = -100,
media_placeholder_token_id: int = 163605,
pad_token_id: int = 0,
**kwargs,
):
if vision_config is None:
vision_config = MoonViTConfig()
elif isinstance(vision_config, dict):
vision_config = MoonViTConfig(**vision_config)
self.vision_config = vision_config
if text_config is None:
text_config = DeepseekV2Config()
elif isinstance(text_config, dict):
text_config = DeepseekV2Config(**text_config)
self.text_config = text_config
self.ignore_index = ignore_index
self.media_placeholder_token_id = media_placeholder_token_id
super().__init__(pad_token_id=pad_token_id, **kwargs)